ARC will offer many free classes on scientific computing, sponsored by Network Learning Initiatives (NLI) and held in room 1100 Torgersen. NLI encourages you to register for these classes through their web site https://nli.tlos.vt.edu, but unregistered auditors are welcome to sit in.

Many user programs reference the LAPACK (Linear Algebra PACKage) library. The ARC software library does not include a standalone compiled version of this library. However, a highly tuned version of the LAPACK library is included in the ATLAS library (along with the BLAS, FFT functions, and many others). The optimized versions of LAPACK functions available through the MKL library typically offer better performance than a user could get from a source code library of LAPACK. For details, refer to https://secure.hosting.vt.edu/www.arc.vt.edu/userguide/lapack_mkl/ .

Many user programs reference the LAPACK (Linear Algebra PACKage) library. The ARC software library does not include a standalone compiled version of this library. However, some of the most useful LAPACK functions are available in the ATLAS library, which contains automatically tuned versions of those functions, as well as every BLAS function. Automatic tuning typically offers better performance than a user could get from a source code library of LAPACK. For details, refer to https://secure.hosting.vt.edu/www.arc.vt.edu/userguide/lapack_atlas/ .

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March 20, 2018

Deep Learning with NVIDIA Digits

Starts: 2:00 pm

Ends: March 20, 2018 - 3:00 pm

Location: Torg. 1100

Description:

NVIDIA DIGITS is a GPU-based deep learning training system designed to streamline the process of training convolutional neural networks for a variety of applications. DIGITS provides an interface to several major deep learning software tools, including caffe, torch, tensorflow and theano. This course will provide an overview of these tools and the workflows needed to use DIGITS to train deep learning models for a wide range of applications.

"This class will provide an overview of high-performance computing from a beginner's perspective. It will cover the following topics:

1) What is supercomputing?
2) Why is supercomputing or parallel computing important
3) Key terminology and concepts in parallel and supercomputing
4) What do modern supercomputers look like?
5) Theoretical background for parallel computing Any or all interested parties are welcome.

Participants are not expected to have any background or familiarity with supercomputing or even programming to attend this session.

This session provides an overview of the high-performance computing (HPC) resources managed by Advanced Research Computing(ARC) followed by a hands-on introduction to the user environment. This session also provides an excellent opportunity for less experienced HPC users to acquaint themselves with the systems available at Virginia Tech and become more comfortable with their use. "